## [1] FALSE

Simulation from sim_pDim_kCl()

View simulation

Cluster #1, level: cl a

column means:

##     V1     V2     V3     V4     V5     V6 
## 0.4687 0.3410 0.4216 0.2729 0.5865 0.4951

column ggcorr:

Cluster #2, level: cl b

column means:

##     V1     V2     V3     V4     V5     V6 
## 0.4670 0.5113 0.5735 0.6589 0.4148 0.4459

column ggcorr:

Cluster differneces; cluster 2 - cluster 1

column means:

##        V1        V2        V3        V4        V5        V6 
## -0.001714  0.170327  0.151924  0.386049 -0.171691 -0.049165

column ggcorr:

LDA

## Call:
## lda(dat, grouping = clas)
## 
## Prior probabilities of groups:
##   cl a   cl b 
## 0.6667 0.3333 
## 
## Group means:
##          V1     V2     V3     V4     V5     V6
## cl a 0.4687 0.3410 0.4216 0.2729 0.5865 0.4951
## cl b 0.4670 0.5113 0.5735 0.6589 0.4148 0.4459
## 
## Coefficients of linear discriminants:
##        LD1
## V1  40.165
## V2 -22.355
## V3  21.999
## V4   9.730
## V5 -67.496
## V6   1.187

PCA

## Standard deviations (1, .., p=6):
## [1] 0.30259 0.26919 0.23593 0.14323 0.07119 0.04732
## 
## Rotation (n x k) = (6 x 6):
##        PC1      PC2       PC3      PC4     PC5      PC6
## V1 -0.0647  0.66301 -0.194811  0.20382 -0.3713  0.58212
## V2  0.4831 -0.05549  0.286220 -0.35724 -0.7329 -0.12976
## V3  0.4539 -0.14771 -0.707198 -0.41531  0.1923  0.25010
## V4  0.6968  0.16442  0.008681  0.63921  0.1772 -0.21774
## V5 -0.2068  0.38166 -0.489201 -0.05886 -0.1987 -0.72753
## V6 -0.1678 -0.60235 -0.374973  0.49628 -0.4659  0.07096

clSep; orig, orig vs MMP, MMp

Original variable cluster seperation:

Original vs MMP cluster seperation:

MMP cluster seperation:

As factors in the user study

Answer

PCA

Manual tour (radial)

Grand tour

Apendix

ClSep of Single-variable permutations (sim_pDim_kCl)